Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care
This research provides a valuable contribution to the evolving discourse surrounding AI adoption in health care. The findings underscore the necessity for comprehensive education and training in AI, accompanied by clear and robust ethical and regulatory guidelines to ensure the responsible integration of AI in health care practice. Furthermore, fostering collaboration and interdisciplinary relationships is pivotal for the successful incorporation of AI in health care. Policymakers should also address the challenges and opportunities that AI presents in the health care sector. This study enhances the ongoing conversation on AI adoption in health care by shedding light on the perspectives of nurses, thereby shaping future strategies for AI integration.
Authors
- Mohammad Habibur Rahman (ORCID: https://orcid.org/0000-0002-6370-8757)
- Shuvashish Das Bala (ORCID: https://orcid.org/0000-0002-7473-0933)
- Sharker Md. Numan (ORCID: https://orcid.org/0000-0002-1875-1561)
- Moustaq Karim Khan Rony (ORCID: https://orcid.org/0000-0002-6905-0554)
- Mst. Rina Parvin (ORCID: https://orcid.org/0000-0003-0111-6163)
- Mohammad Ullah (ORCID: https://orcid.org/0009-0008-9756-0667)
- Md. Wahiduzzaman (ORCID: https://orcid.org/0009-0007-4019-5913)
- Khadiza Akter (ORCID: https://orcid.org/0009-0001-4258-5321)
- Mitun Debnath (ORCID: https://orcid.org/0000-0002-8082-1575)
- Fateha Tuj Johra (ORCID: https://orcid.org/0009-0004-0301-6064)
- Sujit Mondal
- Mousumi Das (ORCID: https://orcid.org/0000-0003-3450-8761)
- Fazila Akter (ORCID: https://orcid.org/0009-0009-5887-8370)
Institutions
- Shahjalal University of Science and Technology (BD)
- Leading University (BD)
- Daffodil International University (BD)
- University of Dhaka (BD)
- Bangladesh Open University (BD)
- International University of Business Agriculture and Technology (BD)
- National Institute of Nuclear Medicine & Allied Sciences (BD)
- National Institute of Cardiovascular Diseases (BD)
Publication Details
- Journal
- Health Science Reports
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1002/hsr2.70006
- Citations
- 47
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.65